Achieving the Sustainable Development Goals in the post-pandemic era

Humanities and Social Sciences Communications, Journal Year: 2022, Volume and Issue: 9(1)

Published: Aug. 6, 2022

Abstract The COVID-19 pandemic continues to pose substantial challenges achieving the Sustainable Development Goals (SDGs). Exploring systematic SDG strategies is urgently needed aid recovery from and reinvigorate global actions. Based on available data comprehensive analysis of literature, this paper highlights ongoing facing SDGs, identifies effects progress, proposes a framework for promoting achievement SDGs in post-pandemic era. Progress towards attaining was already lagging behind even before onset pandemic. Inequitable distribution food–energy–water resources environmental crises clearly threaten implementation. Evidently, there are gaps between vision realization actual capacity that constrain national efforts. turbulent geopolitical environment, spatial inequities, trade-offs limit effectiveness public health crisis socio-economic downturn under have further impeded progress toward SDGs. Not only has delayed advancement general, but it also amplified imbalances undermined connectivity, accentuated anti-globalization sentiment lockdowns conflicts. Nevertheless, positive developments technology improvement conditions occurred. In reflecting overall situation globally, recommended actions adopt “Classification–Coordination–Collaboration” framework. Classification facilitates both identification current development status urgency aligned with conditions. Coordination promotes domestic/international inter-departmental synergy short-term as well long-term development. Cooperation key strengthening economic exchanges, technological innovation, building culture sustainable essential if endeavor be successful. Systematic get process back track.

Language: Английский

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Ecosystem carbon sequestration service supports the Sustainable Development Goals progress

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 330, P. 117155 - 117155

Published: Jan. 4, 2023

Language: Английский

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Contribution of ecosystem services improvement on achieving Sustainable development Goals under ecological engineering projects on the Qinghai-Tibet Plateau

Ecological Engineering, Journal Year: 2023, Volume and Issue: 199, P. 107146 - 107146

Published: Dec. 6, 2023

Language: Английский

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Assessment of land use change and carbon emission: A Log Mean Divisa (LMDI) approach

Heliyon, Journal Year: 2024, Volume and Issue: 10(3), P. e25669 - e25669

Published: Feb. 1, 2024

Changes in land use have a notable influence on carbon emissions since they can affect the levels of stored both soil and vegetation. To effectively analyze factors influencing from change, Log Mean Divisa (LMDI) method is commonly employed. The LMDI decomposition analysis that dissects changes into different factors, including shifts patterns, population growth, economic activity, energy intensity. This approach enables identification specific drivers emission development targeted policy interventions to address them. explore relationship between emissions, method, case study be conducted. involves selecting particular region or country experiencing change examining driving these transformations. Subsequently, applied decompose within selected country, thereby pinpointing major contributors changes. In our study, we observed necessity regulating consumption greenhouse gas urban communities through sustainable practices technologies. research highlighted variations consumption, renewable utilization, public transportation usage among cities China. Moreover, demonstrated patterns their associated alongside findings analysis, which explored based patterns. illuminates importance understanding employing as valuable analytical tool. It underscores significance technologies mitigating areas provides insights role shaping outcomes.

Language: Английский

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Empowering small farmers for sustainable agriculture: a human resource approach to SDG-driven training and innovation

International Journal of Manpower, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 3, 2024

Purpose Amid the growing global emphasis on sustainable agriculture, organizations and governments face a pressing need to equip farmers with knowledge tools necessary for adoption of farming practices, aligning Sustainable Development Goals (SDGs). However, understanding complex relationship between training programs practices among small-scale remains critical challenge. Taking human resource approach, this paper attempts understand interrelationships effectiveness, farmers’ psychological demographic characteristics in explaining practices. Design/methodology/approach We employed multi-stage random sampling method administered structured questionnaire collect data from 331 small who were part government-led, large-scale intervention aimed at them Findings Our research findings not only emphasize role HR approach through but also underscore its importance broader mission SDGs. Specifically, we demonstrate that sustained exposure training, intrinsic motivation acquire knowledge, innovative capacity collectively enhance effectiveness programs, thereby contributing significantly widespread line Originality/value Drawing self-determination theory, literature, call improved alignment SDGs, study presents model explains how characteristics, combined quality quantity influence farmers.

Language: Английский

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The Potential for Restoring the Activity of Oxidoreductases and Hydrolases in Soil Contaminated with Petroleum Products Using Perlite and Dolomite

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(9), P. 3591 - 3591

Published: April 24, 2024

The research focused on assessing the response of oxidoreductases (dehydrogenases and catalase) hydrolases (urease, acid phosphatase, alkaline arylsulfatase, β-glucosidase) to diesel oil (DO) gasoline (G) contamination soils subjected phytoremediation with Zea mays. activity enzymes constitutes one fundamental mechanisms for removal contaminants from soil, which have potential contaminate not only soil but also groundwater water reservoirs. Additionally, correlations between enzyme basic physicochemical properties were determined. interaction perlite dolomite cultivated plant was tested. study carried out in a pot experiment, where contaminated DO or G artificially treated at doses 0, 8 cm3, 16 cm3 kg−1. Perlite applied remediation 0 10 g kg−1 soil. mays found respond tested pollutant reduction biomass. affected growth this more than G. reduced yield aerial parts by 86% 74%. negative effects these pollutants development mitigated both dolomite. exerted greater pressure hydrolases, as well enhanced most whereas inhibited them. implementation intensified all enzymes, except AcP (acid phosphatase) Glu (ß-glucosidase), G, improved its properties. induced less significant

Language: Английский

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Artificial intelligence in soil microbiome analysis: a potential application in predicting and enhancing soil health—a review

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(2)

Published: Jan. 16, 2025

Abstract Soil is a depletable and non-renewable resource essential for food production, crop growth, supporting ecosystem services, such as the retaining cycling of various elements, including water. Therefore characterization preservation soil biological health key point development sustainable agriculture. We conducted comprehensive review use Artificial Intelligence (AI) techniques to develop forecasting models based on microbiota data able monitor predict health. also investigated potentiality AI-based Decision Support Systems (DSSs) improving microorganisms enhance fertility. While available studies are limited, potential applications AI seem relevant predictive fertility, its properties activities, implement precision agriculture, safeguarding ecosystems, bolstering resilience, ensuring production high-quality food.

Language: Английский

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The impact of industrial structural transformation in the Yangtze River economic belt on the trade-offs and synergies between urbanization and carbon balance

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113165 - 113165

Published: Jan. 31, 2025

Language: Английский

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Key Areas of Ecological Restoration in Inner Mongolia Based on Ecosystem Vulnerability and Ecosystem Service

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(12), P. 2729 - 2729

Published: June 7, 2022

Inner Mongolia is located in China’s arid and semi-arid regions, with sensitive fragile ecosystems at risk of increased desertification, necessitating ecological restoration. However, economic resources for large-scale restoration are often scarce, so it vital to identify key areas Previous desertification research has focused mainly on the condition changes soil or vegetation. not all vegetation directly impact humans. New perspectives increasingly needed bridge gap between biophysical human well-being. We construct a framework priority based ecosystem services vulnerability over long time series. The results show that: (1) conservation northeast southwest have degraded. Sand fixation central eastern shown degradation trend. Habitat quality been generally stable sporadic past 20 years. (2) higher concentrated northeast, due climate exposure sensitivity but relatively lower resilience northeast. (3) Compared identified trends traditional indicators (fractional cover net primary productivity), we found greater proportion land northeastern need Additionally, there was decreased southwestern ensure self-restoration regulation desert ecosystems, which conducive realizing nature-based solutions.

Language: Английский

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Evaluation of Global Land Use–Land Cover Data Products in Guangxi, China

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(5), P. 1291 - 1291

Published: Feb. 26, 2023

Land use–land cover (LULC) is an important feature for ecological environment research, land resource management and evaluation. Although global high-resolution LULC data sets are booming, their regional performances were still evaluated in limited regions. To demonstrate the local applicability of products, six emerging products compared Guangxi, China. The used European Space Agency GlobCover (ESAGC), ESRI Use–Land Cover (ESRI–LULC), Finer Resolution Observation Monitoring Global (FROM–GLC), China Dataset (CLCD), product with Fine Classification System at 30 m (GLC_FCS30) GlobeLand30 (GLC30). Reference obtained from government statistical yearbook remote sensing images on Google Earth. results showed that CLCD, ESRI–LULC GLC30 found to agree well forest reference data, highest correlation coefficient 0.999. For cropland areas, GLC30, CLCD ESAGC agreed was 0.957. Combined comparison by Earth, we finally concluded ESAGC, can best represent LULCs Guangxi. Furthermore, spatial consistency analysis three or more identified same type as high 96.98% area. We suggest majority voting might be applied provide fused better a scale avoid error caused single product.

Language: Английский

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